# All Educational Materials for Craig Asmundson

## Popular Study Guides

UTMSTA215H5J.LeydonSummer

## STA215H5 Study Guide - Comprehensive Final Exam Guide - Standard Deviation, Variance, Normal Distribution

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Collecting, analyzing, interpreting and presenting (visualization) of data. Finding patterns and relationships within to draw conclusions. Bigger pictu
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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Study Guide - Comprehensive Final Exam Guide - Unit, Triethylenetetramine, Tral

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UTMSTA215H5Alison WeirFall

## STA215H5 Study Guide - Comprehensive Final Exam Guide - Normal Distribution, Histogram, Unimodality

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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Study Guide - Fall 2018, Comprehensive Midterm Notes -

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UTMSTA215H5Alison WeirFall

## STA215H5 Study Guide - Fall 2018, Comprehensive Midterm Notes - Normal Distribution, Histogram, Unimodality

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12. 2. b&c empirical rule<-> probabilities associated: 12. 2. d&e z tables and pnormz and x probabilities, 12. 2. f&g z tables and pnormpercentiles z a
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UTMSTA215H5J.LeydonSummer

## STA215H5 Study Guide - Summer 2018, Comprehensive Midterm Notes - Standard Deviation, Variance, Normal Distribution

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Collecting, analyzing, interpreting and presenting (visualization) of data. Finding patterns and relationships within to draw conclusions. Bigger pictu
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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Final: Exam Review Session Notes (no exam q's)

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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Study Guide - Midterm Guide: Mothers Against Drunk Driving, Solar Mass

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UTMSTA215H5J.LeydonSummer

## STA215H5 Midterm: sta215 term test 1 practice

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UTMSTA215H5Alison WeirFall

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## Trending

Frequently-seen exam questions from 2014 - 2018.
UTMSTA107H5Alison WeirWinter

## STA107H5 Study Guide - Quiz Guide: Logic Puzzle, Box Plot, Scatter Plot

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General instructions: put all output for all parts of each question on one side of a standard 8. 5x11 page. For this assignment you will produce two pa
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UTMSTA107H5Alison WeirWinter

## STA107H5 Study Guide - Midterm Guide: Standard Deviation, Probability Density Function, Random Variable

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Family name (print) (the name in large print on your t-card) Given names (print) (the names in small print on your t- card) Keep only your id, calculat
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UTMSTA107H5Alison WeirWinter

## STA107H5 Study Guide - Midterm Guide: Covariance, Probability Mass Function, Standard Deviation

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Instructions: keep only your id, calculator, pencils, pens and erasers at your seat. Turn o your phone, and leave it in your bag at the front of the cl
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UTMSTA220H5allFall

## STA220H5 Exam Solution: Blue-Collar Worker, Type I And Type Ii Errors, Marginal Distribution

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UTMSTA220H5allFall

## STA220H5 Exam Solution: Central Limit Theorem, Pivotal Quantity, Confidence Interval

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UTMSTA220H5allFall

## STA220H5 Exam Solution: Pivotal Quantity, Normal Distribution, Confidence Interval

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UTMSTA220H5allFall

## STA220H5 Exam Solution: Binomial Distribution, Variance, Random Number Table

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UTMMAT102H5TJSummer

## MAT102H5 Chapter Notes - Chapter 4: Mathematical Induction, Truncated Icosidodecahedron

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UTMMAT102H5TJSummer

## MAT102H5 Chapter Notes - Chapter 3: Contraposition, Natural Number

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Given a real number x, let a be the phrase 1. 2 , b the phrase x z , c be the the phrase x2 = 1 , and d the phrase x = 2 . 2 < x < 5 (a) a c. Since we
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UTMMAT102H5TJSummer

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## Popular Class Notes

UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Lecture 1: Intro to Statistical Thinking

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UTMSTA215H5Alison WeirWinter

## STA215H5 Lecture 24: Defining a confidence interval, large sample confidence interval for a mean and proportion

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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Lecture 1: Unit 1- Introduction to the Concepts of Statistics

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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture Notes - Lecture 1: Interval Ratio, Statistical Inference

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Collecting, analyzing, interpreting and presenting (visualization) of data. Finding patterns and relationships within to draw conclusions. Bigger pictu
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UTMSTA215H5J.LeydonFall

## sta e2.pdf

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UTMSTA215H5Alison WeirFall

## STA215H5 Lecture Notes - Lecture 9: Prime Number, Conditional Probability

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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Lecture 21: Regression Line, Finding Error & Minimize Area, and R Command Interpretation(LEC21 pt.1)

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UTMSTA215H5Alison WeirWinter

## STA215H5 Lecture 12: Regression residuals, outliers, influential points, extrapolation

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Human error can be a possibility because the data is being inputted by a human. If you have an outlier that is really random, you can ignore it and exp
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UTMSTA215H5Alison WeirWinter

## STA215H5 Lecture 20: Binomial distribution, Normal approximation to the Binomial

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UTMSTA215H5Samantha-Jo CaetanoFall

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## Popular Textbook Notes

UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Chapter Notes - Chapter 1: Wond, Bureau Of International Expositions, Dic Entertainment

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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Chapter Unit 4: STA215 Mdl.8&9- Conditional Probability (Law of Total Probability & Baye's Rule), Multiplication Rule, Combinations, Permutation, Counting Techniques, and Sampling with/without Replacement

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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Chapter Notes - Chapter 3: Squared Deviations From The Mean, Bar Chart, Standard Deviation

58
Chapter three displaying and summarizing quantitative data. For categorical variables, we usually slice up all the possible values into bins and then c
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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Chapter Notes - Chapter 4: Box Plot, General Idea, Equalize

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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Chapter Notes - Chapter 7: The Intercept, Standard Deviation, Dependent And Independent Variables

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7. 1 least squares: the line of best fit . The correlation says that the linear association between two variables can be strong, but it doesn"t tell yo
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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Chapter Notes - Chapter 6: Confounding, Scatter Plot, Dependent And Independent Variables

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When we plot one quantitative variable versus another quantitative variable, the resultant graph is called a scatterplot. If as x increases, y also inc
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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Chapter Notes - Chapter 5: Standard Deviation, Frequency Distribution, Normal Distribution

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Chapter 5 the standard deviation as a ruler and the normal model. Expressing a distance from the mean in standard deviations standardizes the performan
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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Chapter 20: Scatterplot Construction Given Bivariate Data, Linear Relationship Existence Determination, Correlation Coefficient from Sample Data (Mdl.20 pt.1)

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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Chapter Unit 1: Module1- Concepts of stats-- Inferential vs Descriptive Data, & Population vs. Sample

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UTMSTA215H5Samantha-Jo CaetanoFall

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## Most Popular

UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Study Guide - Final Guide: Marginal Distribution, Test Statistic, Tesla Model X

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Week 1: introduction, variables, data analysis and categorical data. Conclusions / decisions / predictions based on a sample. Variables: nominal unorde
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UTMSTA215H5Craig AsmundsonFall

## STA215H5 Study Guide - Final Guide: Standard Score, Sample Space, Conditional Probability

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Chapter 4: mean ( ) = total n. , n = number of terms: variance = s2 = y 2, standard deviation ( ) = s = y 2. Interquartile range (iqr) = q3 q1: range =
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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Final: Final Exam Review

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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Chapter Notes - Chapter 1: Wond, Bureau Of International Expositions, Dic Entertainment

91
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UTMSTA215H5Samantha-Jo CaetanoFall

## STA215H5 Study Guide - Comprehensive Final Exam Guide - Unit, Triethylenetetramine, Tral

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0
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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Lecture 1: Intro to Statistical Thinking

OC8363812 Page
7
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UTMSTA215H5Ramya ThinniyamFall

## STA215H5 Final: Exam Review Session Notes (no exam q's)

OC8363813 Page
15
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UTMSTA215H5Alison WeirFall

## STA215H5 Study Guide - Comprehensive Final Exam Guide - Normal Distribution, Histogram, Unimodality

OC2350613100 Page
0
View Document
UTMSTA215H5J.LeydonSummer

## STA215H5 Study Guide - Comprehensive Final Exam Guide - Standard Deviation, Variance, Normal Distribution

OC122394890 Page
0
Collecting, analyzing, interpreting and presenting (visualization) of data. Finding patterns and relationships within to draw conclusions. Bigger pictu
View Document
UTMSTA215H5Samantha-Jo CaetanoFall

OC13207582 Page
0
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## Most Recent

UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture Notes - Lecture 10: Simple Random Sample, 5,6,7,8, Dependent And Independent Variables

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Each entry in the table is equally likely to be any of the 10digits 0 through 9: 2. Inference about population: the purpose of a sample is to give us i
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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture 3: tutorial 3

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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture 2: tutorial 2

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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture 7: lec 7

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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture 5: lec 5

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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture 6: lecture 6

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UTMSTA215H5J.LeydonSummer

## STA215H5 Midterm: sta215 term test 1 practice

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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture 8: lec 8

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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture 9: lec 9

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UTMSTA215H5J.LeydonSummer

## STA215H5 Lecture 7: STA215 Lecture 7

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